Extracting Low Resolution Text with an Active Camera for OCR

M Mirmehdi; P Clark; J Lam

Extracting Low Resolution Text with an Active Camera for OCR

M Mirmehdi
, P Clark
, J Lam

Research output: Chapter in Book/Report/Conference proceeding › Conference Contribution (Conference Proceeding)

Abstract

Reading text in any scene is useful in the context of wearable computing, robotic vision or as an aid for visually handicapped people. Here, we present a novel automatic text reading system using an active camera focused on text regions already located in the scene (using our recent work). A region of text found is analysed to determine the optimal zoom that would foveate onto it. Then a number of images are captured over the text region to reconstruct a high-resolution mosaic of the whole region. This magni ed image of the text is good enough for reading by humans or for recognition by OCR. Even with a low resolution camera we obtained very good results.

Translated title of the contribution	Extracting Low Resolution Text with an Active Camera for OCR
Original language	English
Title of host publication	Unknown
Editors	J Sanchez, F Pla
Publisher	U Juame I
Pages	43 - 48
Number of pages	5
ISBN (Print)	8482013515
Publication status	Published - May 2001

Bibliographical note

Conference Proceedings/Title of Journal: Proceedings of the IX Spanish Symposium on Pattern Recognition and Im age Processing

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@inproceedings{dced44c96d27422d8a2128dd473d04ef,

title = "Extracting Low Resolution Text with an Active Camera for OCR",

abstract = "Reading text in any scene is useful in the context of wearable computing, robotic vision or as an aid for visually handicapped people. Here, we present a novel automatic text reading system using an active camera focused on text regions already located in the scene (using our recent work). A region of text found is analysed to determine the optimal zoom that would foveate onto it. Then a number of images are captured over the text region to reconstruct a high-resolution mosaic of the whole region. This magni ed image of the text is good enough for reading by humans or for recognition by OCR. Even with a low resolution camera we obtained very good results.",

author = "M Mirmehdi and P Clark and J Lam",

note = "Conference Proceedings/Title of Journal: Proceedings of the IX Spanish Symposium on Pattern Recognition and Im age Processing",

year = "2001",

month = may,

language = "English",

isbn = "8482013515",

pages = "43 -- 48",

editor = "J Sanchez and F Pla",

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publisher = "U Juame I",

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TY - GEN

T1 - Extracting Low Resolution Text with an Active Camera for OCR

AU - Mirmehdi, M

AU - Clark, P

AU - Lam, J

N1 - Conference Proceedings/Title of Journal: Proceedings of the IX Spanish Symposium on Pattern Recognition and Im age Processing

PY - 2001/5

Y1 - 2001/5

N2 - Reading text in any scene is useful in the context of wearable computing, robotic vision or as an aid for visually handicapped people. Here, we present a novel automatic text reading system using an active camera focused on text regions already located in the scene (using our recent work). A region of text found is analysed to determine the optimal zoom that would foveate onto it. Then a number of images are captured over the text region to reconstruct a high-resolution mosaic of the whole region. This magni ed image of the text is good enough for reading by humans or for recognition by OCR. Even with a low resolution camera we obtained very good results.

AB - Reading text in any scene is useful in the context of wearable computing, robotic vision or as an aid for visually handicapped people. Here, we present a novel automatic text reading system using an active camera focused on text regions already located in the scene (using our recent work). A region of text found is analysed to determine the optimal zoom that would foveate onto it. Then a number of images are captured over the text region to reconstruct a high-resolution mosaic of the whole region. This magni ed image of the text is good enough for reading by humans or for recognition by OCR. Even with a low resolution camera we obtained very good results.

M3 - Conference Contribution (Conference Proceeding)

SN - 8482013515

SP - 43

EP - 48

BT - Unknown

A2 - Sanchez, J

A2 - Pla, F

PB - U Juame I

ER -

Extracting Low Resolution Text with an Active Camera for OCR

Abstract

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